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Dear Maintainer,
I hope this message finds you well.
I am writing to you regarding your outstanding work on the tsai project, which has been instrumental in maintaining state-of-the-art models f…
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Referencing: https://github.com/tensorflow/probability/issues/343#issuecomment-480952321
Trying to clarify my understanding of best practices for forecasting with STS. So I'm good up until:
```
q…
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**To Reproduce**
My error is in chapter 15 in the paragraph "Forecasting Multivariate Time Series" (page 559 in the book).
In cell 43 is the following code:
```python
train_mulvar_ds = tf.keras.…
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- Hyndman, Forecasting: Principles and Practice https://otexts.com/fpp3/
- kaggle, Store Sales - Time Series Forecasting: https://www.kaggle.com/competitions/store-sales-time-series-forecasting
- co…
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In this session i will introduce audience to the concept of forecasting and live code demo for forecasting and showcase time series example that have strong seasonal effects and several seasons of his…
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Hi,
Couple of things I don't get:
I made an input csv data as described, along the lines of:
```
y,y1,y2,y3
1 2 3 32 4 56 66,37,18,23
```
Just with much more data for y (the time-series whi…
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I came across the need to implement forecasting methods at my work place. After doing some research, I realized that we even have this functionality in [excel](http://www.real-statistics.com/time-seri…
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**Is your feature request related to a problem? Please describe.**
Currently, time series forecasting challenges often involve dynamically adjusting the training window to capture more data as time…
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Hello there, there are a few other approaches to this that I have seen and wondered if they are on your radar.
Bellman Conformal Inference (BCI) - optimises prediction intervals for time series …
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i'm studying with you website,
https://cienciadedatos.net/documentos/py53-global-forecasting-models.html
there are more than 1000 buildings.
when i resample building with
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